Section:
New Results

Textual Entailment

One important characteristic of natural language is the huge
flexibility on the ways in which we can express the same information.
Many NLP applications like Question/Answering, information retrieval,
and so on, need to deal with this diversity efficiently and
accurately. Recognizing textual entailment, i.e., the question of
whether the information contained in a given text T1 can be
inferred from the information provided by another text T2, is the
core inference task for such systems.